Mayisso Kaleb, Bosha Tafese, Tamiru Dessalegn
School of Nutrition, Food Science and Technology, Hawassa University, Awasa, Ethiopia.
Departments of Nutrition and Dietetics, Faculty of Public Health, Jimma University, Jimma, Ethiopia.
Front Public Health. 2025 Jun 11;13:1536419. doi: 10.3389/fpubh.2025.1536419. eCollection 2025.
A diet that includes a variety of foods provides all the essential nutrients needed to meet nutritional requirements. However, the relationship between dietary diversity and adequate micronutrient intake has not been consistently established across various cultural contexts. Notably, no studies have successfully validated a link between dietary diversity scores and nutrient adequacy in Ethiopia. Therefore, we aimed to validate food variety and dietary diversity scores as proxy indicators of nutrient adequacy among pregnant women in Ethiopia.
A multi-stage systematic random sampling method was used to select study participants from March 1 to March 30, 2024. The multiple-pass 24-h dietary recall method, incorporating the standard nine food groups, was employed to estimate the dietary diversity score of pregnant women. The nutrient adequacy ratio (NAR) was calculated based on the mean adequacy ratio of various micronutrients. Receiver operating characteristic (ROC) curve analysis was used to determine optimal cutoffs for dietary diversity and food variety scores by balancing sensitivity and specificity..
MDD-W exhibited a positive correlation ( = 0.159, 95% CI: 0.065-0.250) ( = 0.001) and demonstrated strong predictive ability (AUC = 0.839, 95% CI: 0.80-0.88; value = 0.001) for the mean adequacy ratio in assessing micronutrient adequacy. The sensitivity and specificity of the MDD-W at the standard cutoff of ≥5 food groups were found to be 69.9 and 5.3%, respectively. Additionally, the optimal cutoff points for dietary diversity and food variety scores in predicting micronutrient adequacy were determined to be 3.42 and 4.67, respectively. The food variety indicator based on nine food groups showed a negative correlation ( = -0.402, 95% CI: -0.137-0.053) ( > 0.05) and remained a poor predictor (AUC = 0.709, 95% CI: 3.49 to 4.03) of the mean adequacy ratio.
MDD-W was positively correlated with micronutrient intake adequacy and demonstrated good predictive ability. At the standard cutoff of ≥5 food groups, its sensitivity and specificity were 69.9 and 5.3%, respectively. However, the findings differed from those of other studies, and discrepancies with FAO recommendations regarding the cutoff values and performance levels of MDD-W were observed, indicating a need for further investigation.
包含各种食物的饮食能提供满足营养需求所需的所有必需营养素。然而,在不同文化背景下,饮食多样性与充足的微量营养素摄入之间的关系尚未得到一致确立。值得注意的是,埃塞俄比亚尚无研究成功验证饮食多样性得分与营养充足性之间的联系。因此,我们旨在验证食物种类和饮食多样性得分作为埃塞俄比亚孕妇营养充足性的替代指标。
采用多阶段系统随机抽样方法,于2024年3月1日至3月30日选取研究参与者。采用纳入标准九类食物组的多次24小时饮食回顾法,估算孕妇的饮食多样性得分。基于各种微量营养素的平均充足率计算营养素充足率(NAR)。采用受试者工作特征(ROC)曲线分析,通过平衡敏感性和特异性来确定饮食多样性和食物种类得分的最佳临界值。
MDD-W与平均充足率呈正相关(r = 0.159,95%CI:0.065 - 0.250)(p = 0.001),在评估微量营养素充足性方面具有较强的预测能力(AUC = 0.839,95%CI:0.80 - 0.88;p值 = 0.001)。在标准临界值≥5个食物组时,MDD-W的敏感性和特异性分别为69.9%和5.3%。此外,预测微量营养素充足性的饮食多样性和食物种类得分的最佳临界值分别确定为3.42和4.67。基于九类食物组的食物种类指标呈负相关(r = -0.402,95%CI:-0.137 - 0.053)(p > 0.05),且对平均充足率的预测能力较差(AUC = 0.709,95%CI:3.49至4.03)。
MDD-W与微量营养素摄入充足性呈正相关,具有良好的预测能力。在标准临界值≥5个食物组时,其敏感性和特异性分别为69.9%和5.3%。然而,研究结果与其他研究不同,且观察到与粮农组织关于MDD-W临界值和性能水平的建议存在差异,表明需要进一步调查。